Cantor Fitzgerald Logo

Cantor Fitzgerald

Business Analyst, AI Transformation

Posted 2 Months Ago
In-Office
New York, NY, USA
130K-170K Annually
Senior level
In-Office
New York, NY, USA
130K-170K Annually
Senior level
Work with Shared Services to identify process improvement opportunities, shape AI and automation use cases, document requirements, support implementation, drive process mapping and reengineering, facilitate stakeholder workshops, collaborate with technology and data teams, and support change management for successful adoption.
The summary above was generated by AI

At Cantor Fitzgerald Technology Markets LLC, we are looking for a talented Business Analyst to join our AI Transformation team. This role is integral to our mission of modernizing Shared Services by leveraging process reengineering, automation, and AI-powered solutions. As a key liaison between business stakeholders and technology teams, you will identify AI and automation opportunities, shape use cases, and drive the successful delivery of technology solutions. This is a hybrid business analyst and builder role best suited for a well-rounded professional who excels at understanding business needs and translating them into technology solutions as well as hands-on implementation. This role requires strong communication and stakeholder management skills, technical acumen and a passion for innovation.

Responsibilities
  •  Partner with Shared Services stakeholders to understand business processes and identify AI and automation opportunities to improve efficiencies and reduce risks. Drive process mapping, optimization, and reengineering to enhance efficiency and scalability. 
  • Shape use cases for AI, automation, and process transformation, aligning with business priorities.
  •  Help drive build vs. buy discussions for tools and solutions that meet the needs of the business. 
  • Triage and prioritize automation opportunities based on anticipated outcomes, complexity and urgency expressed by the business. 
  • Provide hands-on support to the business by implementing AI and rule based automation solutions and assist with integration of AI enterprise assistants like Claude and ChatGPT to increase productivity; provide training and support as needed. 
  • For more complex solutions that require engineering support, gather, document, and refine business requirements, translating them into functional specifications; partner with the engineering teams and data owners on solutioning and drive successful implementation. 
  • Communicate project updates, risks, and outcomes to both business and technical teams. 
  • Support change management initiatives for the successful adoption of new tools and processes.
Qualifications
  • 3+ years of experience in product, technology, data, analytics or similar roles that require both a strong business acumen and technical capabilities. 
  • A proven track record of hands-on implementations of scalable, robust AI solutions in corporate environments that deliver real value to the business. 
  • Solid knowledge of SDLC, LLMs, APIs, agentic workflows and credibility with engineering teams. 
  • Ability to quickly learn new business domains, earn trust of business stakeholders and deliver despite emerging challenges. 
  • Excellent communication skills and a talent for stakeholder management. 
  • Experience in financial services/regulated industries is preferred. 
  • Strong problem-solving skills with a practical, solutions-oriented approach. 
  • Self-motivated with a proactive attitude, thriving in a fast-paced environment.

Compensation: $130,000 - $170,000 Base Salary


#LI-JM3

HQ

Cantor Fitzgerald New York, New York, USA Office

499 Park Avenue, New York, NY, United States, 10022

Similar Jobs

8 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
156K-195K Annually
Mid level
156K-195K Annually
Mid level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Own the roadmap for Datadog’s AI Agent Observability capabilities. Develop product strategy by researching customer needs, validating concepts with design partners, and understanding how teams build, evaluate, monitor, and troubleshoot AI agents. Collaborate with engineering, design, and go-to-market teams from concept through launch, while driving adoption, customer education, and product growth. Track AI ecosystem developments to guide priorities.
Top Skills: Ai AgentsAi ObservabilityAi/MlDatadogMlops
8 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
152K-202K Annually
Senior level
152K-202K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Serve as a cloud cost management and FinOps subject matter expert, advising enterprise customers on multi-cloud cost allocation, AI token attribution, Kubernetes costs, budgeting, anomaly detection, capacity planning, and optimization. Partner with field and product teams, create technical collateral, guide implementations, and influence product roadmaps. The role requires strong cloud infrastructure, observability, billing data, Python or SQL, architecture, and consultative customer skills, with travel up to 40%.
Top Skills: AnthropicAWSAws BedrockAws Cost ExplorerAzureAzure Cost ManagementCloud Cost ManagementCloudabilityCloudhealthCommitted Use DiscountsDatadogFinopsGcp BillingGithub CopilotGoogle Cloud Platform (Gcp)Google GeminiInfrastructure As CodeKubecostKubernetesOpenaiPythonReserved InstancesSavings PlansSQLVantageVertex Ai
8 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
204K-255K Annually
Senior level
204K-255K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead and mentor a team of four designers developing AI monitoring, GPU monitoring, and agent console products. Drive cohesive end-to-end experiences, establish design quality standards, shape product strategy with Product and Engineering leaders, and deepen expertise in AI development workflows, evaluations, infrastructure, and agent debugging. Prototype and ship directly in code, conduct critiques and user testing, and develop designers through coaching and career support.
Top Skills: Agent DebuggingAi/MlClaude CodeCursorGpu InfrastructureLlm SystemsObservability Platforms

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account